Rameez Hasan

Deep dive

Fluid IQ

A flow-centric, automated firefighting system that reduces operator burden and improves safety with real-time sensing and control.

Fluid IQ system

Problem

Fire crews can’t directly verify nozzle flow in real time — they mostly infer from pump pressure and radio calls.

Solution

A rugged hardware + software stack that measures flow directly, predicts nozzle state, and automates discharge control.

Hardware leadJ1939 integrationUltrasonic sensingEdge compute
Fluid IQ hardware detail Fluid IQ field testing

System components

  • Discharge Control Unit (DCU): flow + pressure sensing, pitot validation, motorized valve control
  • Operator panel: set GPM (not PSI) with clear feedback
  • Cloud platform: fleet analytics, diagnostics, continuous model improvement

What I led

  • Built the hardware roadmap and owned end-to-end architecture
  • Hired and led ME/EE/FW engineers
  • Sensor design, integration, reliability, and field validation
  • Truck interface via J1939

Analytics roadmap

DescriptiveFlow/pressure/GPS data capture + dashboards
PredictiveNozzle-state inference + anomaly detection
PrescriptiveAuto control suggestions + closed-loop optimization

Swap in your photos

Replace the placeholders with images of: prototypes, test rigs, sensor internals, fire truck integration, and UI. Keep text short and let visuals carry the story.